How to Use the Lever MCP in Vercel AI SDK

Q: Can I use Lever tools to build a custom applicant tracker?

Absolutely. You can map listhiringopportunities and getopportunitydetails to your internal React or Next.js components to build a dashboard tailored to your specific hiring process.

Stream real-time Lever hiring data directly into your Vercel AI SDK interface without the loading spinner wait.

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…and any MCP-compatible client

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Connect Lever MCP to Vercel AI SDK

Create your Vinkius account to connect Lever to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lever with Vercel AI SDK

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Live Job Posting Updates

Feed your UI with active job data using `list_job_postings`. Your components react instantly as the state changes. Verify specific requirements by calling `get_posting_details` to pull in descriptions or internal notes for your front-end display.

Candidate State Management

Trigger status changes from your dashboard using `update_opportunity_stage`. It keeps your ATS in sync with your user actions. Pull deeper context with `get_candidate_profile` so your interface shows exactly what the recruiter needs to see right now.

Automated Opportunity Creation

Instantly register new applicants via `create_hiring_opportunity` when a user submits a form. No manual entry required. Use `list_hiring_stages` to confirm the correct pipeline path before pushing records, ensuring every candidate lands in the right bucket.

Setup guide

Set up Lever MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Lever tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Lever transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lever. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lever MCP in Vercel AI SDK

You connect the MCP server via the HTTP transport in your Vercel AI SDK project. Once linked, you call the tools inside your streamText functions to inject live ATS data directly into your UI.

It does. Because the Vercel AI SDK handles streaming responses, your interface updates as the tool results arrive, meaning your users don't sit through long loading bars.

Absolutely. You can map `list_hiring_opportunities` and `get_opportunity_details` to your internal React or Next.js components to build a dashboard tailored to your specific hiring process.

You pass your credentials through an environment variable or an authProvider. The Vercel AI SDK then keeps those keys out of your client-side bundle.

The server accesses candidate names, contact details, and application status via `get_candidate_profile`. This data is ephemeral and used only for the active request you initiate.

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